Technical Lead (Data)

New
J
Juniper SquarePrivate markets
Location: India Workplace: RemoteFull-TimeLead
Salary not disclosed
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Job Details

Experience
7-11 years of experience building ETL (Extraction Transform Load) or ELT (Extraction Load Transform) pipelines from scratch
Required Skills
PostgreSQLPythonSQLTypeScriptFastAPIReactRESTful APIs

Requirements

  • Have a Bachelor's degree in Computer Science or equivalent work experience.
  • Have 7-11 years of experience building ETL or ELT pipelines from scratch.
  • Demonstrate strong command of relational databases, data modeling, and database design; PostgreSQL is preferred.
  • Demonstrate strong command of Python and experience building production web applications using Python.
  • Have experience with cloud-based services; AWS RDS is preferred.
  • Have experience developing on or administering BI and data visualization platforms such as Looker, Tableau, Power BI, Mode, Data Studio, Domo, or QlikView.
  • Have a basic understanding of data warehouses such as Amazon Redshift, Google BigQuery, or Snowflake.
  • Demonstrate the ability to translate data into clear, actionable narratives for stakeholders.
  • Be familiar with data catalog or data governance platforms such as OpenMetadata.
  • Have experience building backend services using Python/FastAPI and designing scalable RESTful and GraphQL APIs.
  • Have mandatory experience authoring modern web applications using ReactJS and TypeScript, including reusable UI components and scalable frontend architecture.
  • Be familiar with tool-calling agents, planning/execution loops, and RAG, and demonstrate the use of modern AI tools to improve velocity and code quality.

Responsibilities

  • Design and implement data models in SQL.
  • Collaborate with software engineers on sound, scalable implementations.
  • Act as the team's technical expert on data.
  • Introduce technologies to evolve data pipeline capabilities.
  • Document data models, architectural decisions, and data dictionaries.
  • Guide governance, code reviews, and access controls for analytics.
  • Learn the application data schema and transform it to support customer decision-making.
  • Advise product and development teams on instrumentation and product usage reporting.
  • Complete projects with minimal guidance and collaborate when appropriate.
  • Build scalable, high-performance infrastructure to deliver business insights from raw data sources.
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